Let's Talk about Data Mesh Enablement: Federation & Self-Service Infrastructure

Hey Tech Heads

let's get back to meeting in person! We're glad to invite you to our office for 3 talks, food, drinks & discussion!

Data Mesh as analytical Data Architecture is receiving a lot of attention these days. One can find many explanations of the underlying principles, along with experience reports and case studies of first implementations.
We’re seeing a lot of companies and customers who are having a history of data platforms (data warehouses, data lakes, cloud-based solutions, …).

While the understanding of the principles is there, it is often not clear how to get started with a potential Data Mesh journey. In order to support the organizational aspects, two directions can be helpful here from our experience: First, a data federation or virtualization approach, and second a platform which facilitates self-service data infrastructure.

As we are happy to have two partners with a suitable background, we are looking forward to presenting two solutions in these respective fields. After our initial talks, there will be plenty of room for networking and discussion of practical steps and aspects around Data Mesh.

Preliminary schedule

• Domink Benz, inovex (10min): A Data Mesh Primer: Why federation & self-service infrastructure matters
• Andy Mott, Starburst Data (15min): Starburst: A Data Federation Layer for Data Mesh landscapes
• Sönke Liebau / Stefan Igel, Stackable (15min): Data Mesh Infrastructure as a Service with Stackable

Abstracts
Dominik Benz: A Data Mesh Primer: Why federation & self-service infrastructure matters
Data Mesh as analytical Data Architecture is receiving a lot of attention these days. As a basis for the two main talks, we will briefly summarize the key aspects of the Data mesh paradigm. We will close by outlining why Data Federation and Self-service Data Infrastructure are two key components based on our project experience.

Andy Mott: Starburst: A Data Federation Layer for Data Mesh landscapes
Starburst is the analytics engine for all your data. We unlock the value of distributed data by making it fast and easy to access, no matter where it lives. The capabilities that Starburst provides enable organisations to adopt a Data Mesh approach to support their Enterprise Data Strategy. In this discussion we will cover how these capabilities support data product thinking, domain autonomy and incentivisation strategies.

Sönke Liebau: Data Mesh Infrastructure as a Service with Stackable
Cloud-native concepts and technologies such as containerization and Kubernetes enable companies to orchestrate modern data platforms with open source software. This architecture especially lends itself to implementing self-service data infrastructure in a decentralized data mesh. In this talk we’ll show how the Stackable Data Platform can support this approach.

Bios
Dr. Dominik Benz has been supporting companies implementing data platforms and architectures for many years. As inovex' head of data engineering he combines technological and organizational aspects with his knowledge of analytic approaches.

Andy Mott is the EMEA Head of Partner Solutions Architecture and Data Mesh Lead at Starburst. Andy is supporting the rapid growth of technology partners across Europe and the Middle East, working with the Regional SI's, Global SI's, the Hyperscalers, Platform Partners and Technology Partners. With over 20 years in analytics and data-focused roles, Andy’s specific focus is considering how an organisation’s use of analytics, analytical culture and analytical processes can be optimised through technologies such as self-service data tools, cloud, and streaming analytics.

Sönke Liebau is CPO and co-founder of Stackable. He has been working in the field of Big Data for several years, supporting customers in designing and implementing their individual data platforms. Furthermore, he is an active contributor to several open source projects. His extensive experience in implementing and maintaining big data infrastructures grants him deep insights into the needs and conditions a big data architecture has to meet. As the CPO of Stackable it is his duty to use this experience to develop the Stackable Data Platform to meet all its customers' expectations.

Stefan Igel looks back at 25 years of tech projects, in which he aided many companies introducing data platforms for business intelligence and analytics. 11 of those years he has been focused on big data projects. At Stackable, Stefan is responsible for operative and strategic business development.